Patents by Inventor Peter Hurford

Peter Hurford has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10803481
    Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.
    Type: Grant
    Filed: September 6, 2019
    Date of Patent: October 13, 2020
    Assignee: Quad/Graphics, Inc.
    Inventors: Brent Laufenberg, Joy Wilson, Eric Sherlock, Josh Friedlander, Christine Hill, Jason French, Peter Hurford, Jessie Daubner
  • Publication number: 20190392478
    Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.
    Type: Application
    Filed: September 6, 2019
    Publication date: December 26, 2019
    Inventors: Brent Laufenberg, Joy Wilson, Eric Sherlock, Josh Friedlander, Christine Hill, Jason French, Peter Hurford, Jessie Daubner
  • Patent number: 10445767
    Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.
    Type: Grant
    Filed: December 21, 2016
    Date of Patent: October 15, 2019
    Assignee: Quad/Graphics, Inc.
    Inventors: Brent Laufenberg, Joy Wilson, Eric Sherlock, Josh Friedlander, Christine Hill, Jason French, Peter Hurford, Jessie Daubner
  • Publication number: 20180174182
    Abstract: An embodiment may involve receiving input information related to an offered product or service, two or more layouts of a print advertisement for the offered product or service, demographics of potential buyers of the offered product or service, and online behavior of the potential buyers. The information may be normalized into a predefined schema for a machine-learning-based recommendation engine operated by a computing device. The embodiment may further involve determining respective selections of the two or more layouts for the potential buyers. The machine-learning-based recommendation engine may select a layout for a potential buyer based on the offered product or service, content and organization of the layout, demographics of the potential buyer, and online behavior of the potential buyer. The embodiment may also involve transmitting, to a printing system, one or more output files representing the offered product or service, the layout, and the potential buyer.
    Type: Application
    Filed: December 21, 2016
    Publication date: June 21, 2018
    Inventors: Brent Laufenberg, Joy Wilson, Eric Sherlock, Josh Friedlander, Christine Hill, Jason French, Peter Hurford, Jessie Daubner